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← People and their mental models

Anil Dash's mental models

2 claims Anil Dash made fit 2 mental models. Most often: Lock-in and switching costs, Network effects. Everything they said here.

Models we see in what they say

Our reading: their claim applies the idea without naming it. The claim is theirs; filing it here is ours.

Lock-in and switching costs

People stay with what they would not choose again because leaving costs more than staying; watch who sets that cost.

Closing off interoperability is how a platform locks people in, and that lock-in is what lets the service be made worse without losing them.

  1. Anil Dash Technologist and writer, a blogger since 1999 Meanwhile, others like Spotify and Netflix leverage their dominant positions in the market to coerce creators to abandon open podcasts entirely, in favor of proprietary formats that require listeners to be on those platforms — locking in both creators and their audiences so they are stuck as they begin the enshittification process. Endgame for the Open Webanildash.com · 27 Mar 2026All korrents from this piece
    Meanwhile, others like Spotify and Netflix leverage their dominant positions in the market to coerce creators to abandon open podcasts entirely, in favor of proprietary formats that require listeners to be on those platforms — locking in both creators and their audiences so they are stuck as they begin the enshittification process.

Network effects

Something worth more to each user the more users it has; a strong defence, but not one that lasts by itself.

People often keep using large tech platforms whose harms they object to because of the platforms' coercive power over their lives.

  1. Anil Dash Technologist and writer, a blogger since 1999 There are millions of people who don't like that they're using LLMs provided by the Big AI companies, but end up using them anyway. Maybe it's time for lots of little indie AIs to take overanildash.com · 15 Jun 2026All korrents from this piece
    There are millions of people who don't like that they're using LLMs provided by the Big AI companies, but end up using them anyway.